\\nCompany Description

We are Swissquote and we challenge the code to deliver innovative services & products that make financial opportunities accessible to everyone.

We deliver our services to + 450\\xe2\\x80\\x99000 clients who can trade over 3 million products through performant and secured platforms.

As well as various online trading products (stocks, cryptocurrencies, bonds, funds, derivative products\\xe2\\x80\\xa6), we provide Forex, Robo-Advisory and Mortgages solutions.
That makes us the Swiss Leader in online Banking!

Join our 1000 employees all over the world to accelerate your career in fast-moving and rock-solid company! We keep on growing and at the end of June 2022, Swissquote held over 50 billion Swiss francs in assets for more than 520,000 private and institutional clients.

Follow to discover our people & culture!

Job Description

Shaping the future of banking with AI: Large Language Models for AI assistants in finance and banking sectors

The integration of financial services with technology has given rise to an overwhelming amount of structured and unstructured data. Advanced ML and NLP techniques are essential to harness the potential of this data and enhance user experiences.
Swissquote\\\'s Data Science team offers an internship opportunity focusing on the applications of Large Language Models (LLM) in developing state-of-the-art AI assistants.
The main objective is to explore, design, and refine NLP applications using LLMs to develop intuitive and efficient AI assistants tailored for the banking and finance domains.

The DS team is integrated in Swissquote\\\'s core research group, the Quantitative Research & Solutions (QRS) department, specialized in theoretical and applied research in Quantitative Finance and Data Science.
QRS\\\'s mission is to provide best-in-class quantitative and AI solutions by performing research to support every division of the bank in need of an analytical approach.

By Joining The Team As Data Scientist Intern You Will
Identify and preprocess relevant financial textual datasets
Probe various LLM configurations for chatbot and AI assistant development
Fine-tune and test LLMs for AI assistant tasks on custom datasets

Qualifications

• A robust background in data science and NLP
• Prior exposure to or a keen interest in LLMs
• Coding proficiency in Python
• Interest in the banking and financial sectors
• Creative and curious, always ready to challenge the status quo
• Organized, self-motivated with excellent communication skills
• Ability to work in a team and to communicate well with different stakeholders
• Fluent in English

Additional Information

SQ3

A BANK THAT DOESN\\\'T LOOK LIKE ONE
Located near Geneva and the lake, our Headquarters gathers 600 of our employees: young (34 years old average), multicultural (50 nationalities) and wearing what suits them best. You will find a friendly atmosphere in an open and inclusive environment. Spacious offices, home-office policy, outdoor terrace, sports clubs and even... a real Pub for after-work moments.\\n \\n \\n \\n \\n \\n

\\n\\n Swissquote - WE ARE ALL IN\\n \\n\\n

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